1 to 25 of 32 Permanent Snowflake Jobs in the South East

Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience, with the ability to mentor, influence, and set technical More ❯

with cloud platforms, preferably Azure (AWS, GCP experience is also valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding of data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands More ❯

in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with More ❯

a small, high-performing team. What We're Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and More ❯

Culture builder, driving continuous improvement and operational excellence. Deep expertise in data compliance frameworks, cost management, and platform optimisation. Strong hands-on experience with modern cloud data warehouses (Databricks, Snowflake, AWS), SQL, Spark, Airflow, Terraform. Advanced Python skills with orchestration tooling; solid experience in CI/CD (Git, Jenkins). Proven track record in data modelling, batch/real-time More ❯

scalable, efficient, and secure data architecture. Experience with data warehousing, data lakes, ETL processes. Proficiency in logical and physical data modelling. Knowledge of cloud platforms (AWS, Azure, Google Cloud, Snowflake). Excellent communication and stakeholder management skills. Proactive approach to emerging technologies and Microsoft tech stack. More ❯

team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises More ❯

4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid working. More ❯

platforms Confident communicator who can collaborate effectively with engineers and explain technical matters clearly to non-technical colleagues Bonus points if you have experience with: Data warehouse platforms like Snowflake Python or similar scripting for tooling and automation DevOps practices (CI/CD pipelines, monitoring, log management) SQL performance tuning and data modelling concepts Please note: My client cannot offer More ❯

is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate More ❯

and chairing CAB - Improving efficiency through automating solutions - Oversee system enhancements and software upgrades - Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory - Drive development of Snowflake Data Warehouse - Digital roadmap development - IT projects To be considered suitable you will need the following skills/experience: - Understanding of the Microsoft Power Platform - Understanding of SDLC - Team management More ❯

multi-disciplinary teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering More ❯

multi-disciplinary teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering More ❯

multi-disciplinary teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering More ❯

solving ability and a track record of meeting deadlines Excellent communication skills for cross-team collaboration Desirable skills (not essential, but a big plus): SSAS, SSRS, SSIS Kafka, MSK, Snowflake, Aurora DB, SNS AWS or Azure database management If you're ready to join a company that challenges limits, delivers excellence, and offers a truly rewarding career path, we want More ❯

business areas Qualifications and Requirements 5+ years in senior data architecture roles with expertise in distributed systems, high availability, and enterprise leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh topologies More ❯

Proven expertise working with Microsoft Azure In-depth knowledge of data modelling, data integration, and data management principles and techniques. Experience working with Modern Data Warehouse platform such as Snowflake or similar. What's in it for you: Competitive salary and performance-based bonuses. Flexible work hours and remote work options. Competitive pension contributions Private health and dental care. Income More ❯

Proven expertise working with Microsoft Azure In-depth knowledge of data modelling, data integration, and data management principles and techniques. Experience working with Modern Data Warehouse platform such as Snowflake or similar. What's in it for you: Competitive salary and performance-based bonuses. Flexible work hours and remote work options. Competitive pension contributions Private health and dental care. Income More ❯

Proven expertise working with Microsoft Azure In-depth knowledge of data modelling, data integration, and data management principles and techniques. Experience working with Modern Data Warehouse platform such as Snowflake or similar. What's in it for you: Competitive salary and performance-based bonuses. Flexible work hours and remote work options. Competitive pension contributions Private health and dental care. Income More ❯

Proven expertise working with Microsoft Azure In-depth knowledge of data modelling, data integration, and data management principles and techniques. Experience working with Modern Data Warehouse platform such as Snowflake or similar. What's in it for you: Competitive salary and performance-based bonuses. Flexible work hours and remote work options. Competitive pension contributions Private health and dental care. Income More ❯

DeepunderstandingofcoreNiFiconcepts:FlowFiles,Processors,ControllerServices, Schedulers,WebUI. Experiencedesigningandoptimizingdataflowsforbatch,real-timestreaming,and event-drivenarchitectures. Abilitytoidentifyandresolveflowissues,optimizeperformance,andimplementerror handlingstrategies. OptionalscriptingskillsforcreatingcustomNiFiprocessors. Programming&DataTechnologies: ProficiencyinJavaandSQL. ExperiencewithC#andScalaisaplus. ExperiencewithETLtoolsandbigdataplatforms. Knowledgeofdatamodeling,replication,andqueryoptimization. Hands-onexperiencewithSQLandNoSQLdatabasesisdesirable. Familiaritywithdatawarehousingsolutions(e.g.,Snowflake,Redshift,BigQuery)would bebeneficial. DataPlatformManagement: Comfortableoperatinginhybridenvironments(cloudandon-prem). Experienceintegratingdiversedatasourcesandsystems. Understandingofsecuredatatransferprotocolsanddisasterrecoveryplanning. CI/CD&DevOpsPractices: ExperienceworkingwithCI/CDpipelinestoautomatedeploymentofNiFiflowsanddata infrastructurecomponents. FamiliaritywithtoolssuchasGit,Jenkins,AzureDevOps,orsimilar. WaysofWorking: ComfortableworkinginAgile/Scrumenvironments,participatinginsprintplanning, stand-ups More ❯

deep dives Excellent communication - comfortable presenting to large senior audiences Solid grasp of digital marketing KPIs and strategy Nice-to-Haves: Exposure to personalisation/testing workflows Experience with Snowflake or Python for light wrangling Why Apply? Real strategic ownership? Work directly with high-profile clients? Friendly, expert team (10 heads)? State pension + profit share? Hybrid setup - Tuesdays & Thursdays More ❯

Proven expertise working with Microsoft Azure In-depth knowledge of data modelling, data integration, and data management principles and techniques. Experience working with Modern Data Warehouse platform such as Snowflake or similar. Whats in it for you: Competitive salary and performance-based bonuses. Flexible work hours and remote work options. Competitive pension contributions Private health and dental care. Income protection More ❯

Looker solutions that support sales performance and revenue growth. Develop, document, and distribute Looker reports, ensuring consistency, accuracy, and usability. Build and maintain robust data models in DBT and Snowflake, ensuring clean, trustworthy data flows into reporting. Support data integrity within Salesforce and other commercial data sources, enhancing quality and enabling consistent reporting. Automate ingestion and transformation of financial and … tool such as Looker, Tableau, Power Bi or similar Good SQL skills, you know your way around a database. Some exposure to a cloud-based data warehouse such as Snowflake, Redshift, Big Query or similar. Some knowledge of ETL/ELT and data automation. A desire to work with complex Salesforce detail and master that data. Excellent problem-solving skills More ❯

Role Title: Data Solutions Architect (GCP) Business Unit: Data Management Role Overview This strategic, client-facing role sits within a growing Data Management practice and focuses on leading cloud-based data architecture initiatives, particularly on Google Cloud Platform (GCP). More ❯